NumericalComputingwithMATLAB

用周期图谱法以及其改进算法进行的经典谱估计(Mapping method using the cycle as well as its improved algorithm for the classical spectral estimation)

some books and some codes based on optical fiber

有小波分析的盲信号处理，包含优化类的几个简单示例程序，相控阵天线的方向图（切比雪夫加权）。( There Wavelet Analysis Blind Signal Processing, Optimization class contains several simple sample programs, Phased array antenna pattern (Chebyshev weights).)

说明：  人脸识别算法PCA的可执行程序，识别率为88.5％，为matlab平台程序，大家共享吧(PCA Face Recognition Algorithm for the executable program, identification rate of 88.5 for matlab platform procedure, let everyone share)

基于最小二乘辨识的模型参考自适应，含有详细word说明文件(Based on the model reference adaptive least squares identification, documentation contains detailed word)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

说明：  基于非相干信号字空间宽带源DOA估计方法，代码可运行(The matlab code is the DOA estimation for wide-band signals by ISM. It works well.)

this project is safe browsing project with BHO in IE

本程序是利用真实的外部输入测井数据，在matlab环境下生成井的合成地震记录，并且将地震记录成图显示，最终达到地层标定的目的。(This procedure is the use of real external input log data to generate synthetic seismograms well in matlab environment, and seismic mapping records show, and ultimately the formation calibration purposes.)

k均值算法是一种迭代求解的聚类分析算法，其步骤是随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。(kmeans algorithm is an iterative solution clustering analysis algorithm. First, the initial clustering centers are randomly selected. Then, distance between between each point ans others are calculated, and each data point is designed to its nearest clustering center.)